research tells me what's possible. building tells me what's true
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
tara-app
May 24, 2026 – Present
🧙🏼♂️ Astrotalk, but with AI agents. Call/Text counsellors, multilingual, real-time. #2 silk 1 launch hackathon.
View ProjectAgentForge
April 29, 2026 – Present
Open-source terminal AI coding-agent harness for studying agent loops, tools, MCP, skills, safety, and persistence.
View ProjectMemexLLM
January 16, 2026 – Present
Deployed RAG platform for document intelligence with hybrid semantic + BM25 retrieval, reranking, citations, and confidence thresholds.
View ProjectMemexLLM-backend
November 23, 2025 – Present
FastAPI backend for MemexLLM with hybrid retrieval, Qdrant vector search, LlamaIndex orchestration, PostgreSQL persistence, and citations.
View Projectai-agents
June 19, 2025 – Present
Collection of AI agent experiments covering tool use, orchestration patterns, and applied LLM workflows.
View ProjectAttention-is-all-you-need
April 30, 2025 – Present
Python implementation and study notes for the Transformer architecture from Attention Is All You Need.
View ProjectDSA
September 21, 2023 – December 2, 2025
Java data structures and algorithms practice repository covering core problem-solving patterns for interviews and competitive programming.
View ProjectCultural Fit Analysis
The candidate's projects are heavily skewed towards AI/ML and backend development, with a strong emphasis on Python. While there are frontend technologies listed (TypeScript, JavaScript, CSS), the primary focus and complexity described in projects like 'tara-app', 'MemexLLM', and 'MemexLLM-backend' lean towards AI agents, RAG platforms, and backend infrastructure. This indicates a potential misalignment with a pure 'Frontend Developer' target role, suggesting a stronger fit for a full-stack or AI-focused role. The diversity of projects is good, but the thematic concentration might not align with a standard frontend team's needs.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but no direct communication or collaboration examples are provided.